Masters by Research in Computing Science (Part time) - Máster en Investigación en Informática
Computer science is the study of theoretical foundations and practical techniques for implementation in computer systems. Despite its short history, computer science has made major contributions to science and society that have transformed the way we live our lives.
There are many sub-fields of computer science and this course provides an opportunity to study a range of these to an advanced level, with a particular emphasis on application development,network security and artificial intelligence.
You will be taught by an internationally recognised team, drawn from the University’s Centre of Excellence in Mobile Applications and Services (CEMAS), the Computer Science and Artificial Intelligence Paradigms research unit (CSAIP) and the Information SecurityResearch Group.
Licenciado/Título de Ingeniero/Título de Arquitecto with an average of 6.0-6.9, Aprobado or above
English language qualifications:
GCSE pass in English at Grade C or above
IELTS with an average overall score 6.5 with at least a 5.5 in each component
TOEFL IBT minimum score 88
Cambridge English: Advanced (CAE): exams taken from January 2015 – overall score of 176 with at least 162 in each component; exams taken before January 2015 – Grade C and no less than borderline in each skill
Trinity College English Language qualifications: ISE III Pass for postgraduate taught courses and research applications
City and Guild’s IESOL/ISESOL tests at expert and mastery levels (C2 and C1) for the majority of postgraduate programmes
Pearson Test of English Academic (PTE Academic) with a minimum of 67 points in each elemen
Don’t worry if you do not meet these requirements, we run a number of courses to prepare you for academic studies.
Real-time Computer Graphics
Mobile Application Development
Professional Skills Development
Advanced Research Methods
Research Project: an investigation of your choice, related to the course
MSc Project: the development and evaluation of a significant application or task of your choice, related to the course.
Learning and teaching methods
The course is delivered in four major blocks that offer an intensive but focused learning pattern, with two entry opportunities for applicants every year – February and September. Full-time students will typically spend 12 hours in classes each week. If you choose to study part-time, this is reduced to around six hours each week. You will study through lectures, tutorials, practical sessions, seminars and projects. You need to spend a significant amount of time working independently, reading and preparing for assessments.
Students who complete this award will be educated to a professional standard in a range of fields related to computer science, and will have improved transferable skills. These include problem solving, communication, team working, effective use of IT facilities and information retrieval.
With training to Masters level now the recognised professional level of competence, graduates will be better placed to pursue careers in industry, or continue their interest in computer science through research at PhD level.
The skills developed on this course strongly relate to the role of a software developer in a range of specialised areas. For example, business analytics for optimisation is one of the key areas highlighted by e-skills, and this course provides an opportunity to develop knowledge and skills at the forefront of this field, in addition to practical programming elements.